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| Started by | Roy Smith <roy@panix.com> |
|---|---|
| First post | 2014-05-29 20:13 -0400 |
| Last post | 2014-06-04 22:12 -0700 |
| Articles | 6 — 4 participants |
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pyflakes best practices? Roy Smith <roy@panix.com> - 2014-05-29 20:13 -0400
Re: pyflakes best practices? Mark Lawrence <breamoreboy@yahoo.co.uk> - 2014-05-30 01:50 +0100
Re: pyflakes best practices? Roy Smith <roy@panix.com> - 2014-05-29 21:14 -0400
Re: pyflakes best practices? Mark Lawrence <breamoreboy@yahoo.co.uk> - 2014-05-31 18:10 +0100
Re: pyflakes best practices? Roland Koebler <r.koebler@yahoo.de> - 2014-06-04 17:35 +0200
Re: pyflakes best practices? Miki Tebeka <miki.tebeka@gmail.com> - 2014-06-04 22:12 -0700
| From | Roy Smith <roy@panix.com> |
|---|---|
| Date | 2014-05-29 20:13 -0400 |
| Subject | pyflakes best practices? |
| Message-ID | <roy-05CD0E.20134129052014@news.panix.com> |
We've recently started using pyflakes. The results seem to be similar to most tools of this genre. It found a few real problems. It generated a lot of noise about things which weren't really wrong, but were easy to fix (mostly, unused imports), and a few plain old false positives which have no easy "fix" (in the sense of, things I can change which will make pyflakes STFU). So, what's the best practice here? How do people deal with the false positives? Is there some way to annotate the source code to tell pyflakes to ignore something?
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| From | Mark Lawrence <breamoreboy@yahoo.co.uk> |
|---|---|
| Date | 2014-05-30 01:50 +0100 |
| Message-ID | <mailman.10467.1401411041.18130.python-list@python.org> |
| In reply to | #72263 |
On 30/05/2014 01:13, Roy Smith wrote: > We've recently started using pyflakes. The results seem to be similar > to most tools of this genre. It found a few real problems. It > generated a lot of noise about things which weren't really wrong, but > were easy to fix (mostly, unused imports), and a few plain old false > positives which have no easy "fix" (in the sense of, things I can change > which will make pyflakes STFU). > > So, what's the best practice here? How do people deal with the false > positives? Is there some way to annotate the source code to tell > pyflakes to ignore something? > I was under the impression that pyflakes was configurable. It it isn't I'd simply find another tool. Having said that if you don't get better answers here try gmane.comp.python.code-quality. -- My fellow Pythonistas, ask not what our language can do for you, ask what you can do for our language. Mark Lawrence --- This email is free from viruses and malware because avast! Antivirus protection is active. http://www.avast.com
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| From | Roy Smith <roy@panix.com> |
|---|---|
| Date | 2014-05-29 21:14 -0400 |
| Message-ID | <roy-F159F1.21142029052014@news.panix.com> |
| In reply to | #72268 |
In article <mailman.10467.1401411041.18130.python-list@python.org>, Mark Lawrence <breamoreboy@yahoo.co.uk> wrote: > On 30/05/2014 01:13, Roy Smith wrote: > > We've recently started using pyflakes. The results seem to be similar > > to most tools of this genre. It found a few real problems. It > > generated a lot of noise about things which weren't really wrong, but > > were easy to fix (mostly, unused imports), and a few plain old false > > positives which have no easy "fix" (in the sense of, things I can change > > which will make pyflakes STFU). > > > > So, what's the best practice here? How do people deal with the false > > positives? Is there some way to annotate the source code to tell > > pyflakes to ignore something? > > > > I was under the impression that pyflakes was configurable. It it isn't > I'd simply find another tool. Having said that if you don't get better > answers here try gmane.comp.python.code-quality. I didn't know that list existed, it looks very interesting. Thanks for the pointer!
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| From | Mark Lawrence <breamoreboy@yahoo.co.uk> |
|---|---|
| Date | 2014-05-31 18:10 +0100 |
| Message-ID | <mailman.10510.1401556241.18130.python-list@python.org> |
| In reply to | #72269 |
On 30/05/2014 02:14, Roy Smith wrote: > In article <mailman.10467.1401411041.18130.python-list@python.org>, > Mark Lawrence <breamoreboy@yahoo.co.uk> wrote: > >> On 30/05/2014 01:13, Roy Smith wrote: >>> We've recently started using pyflakes. The results seem to be similar >>> to most tools of this genre. It found a few real problems. It >>> generated a lot of noise about things which weren't really wrong, but >>> were easy to fix (mostly, unused imports), and a few plain old false >>> positives which have no easy "fix" (in the sense of, things I can change >>> which will make pyflakes STFU). >>> >>> So, what's the best practice here? How do people deal with the false >>> positives? Is there some way to annotate the source code to tell >>> pyflakes to ignore something? >>> >> >> I was under the impression that pyflakes was configurable. It it isn't >> I'd simply find another tool. Having said that if you don't get better >> answers here try gmane.comp.python.code-quality. > > I didn't know that list existed, it looks very interesting. Thanks for > the pointer! > FYI the full list of Python lists on gmane here http://dir.gmane.org/index.php?prefix=gmane.comp.python -- My fellow Pythonistas, ask not what our language can do for you, ask what you can do for our language. Mark Lawrence --- This email is free from viruses and malware because avast! Antivirus protection is active. http://www.avast.com
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| From | Roland Koebler <r.koebler@yahoo.de> |
|---|---|
| Date | 2014-06-04 17:35 +0200 |
| Message-ID | <mailman.10707.1401896414.18130.python-list@python.org> |
| In reply to | #72263 |
Hi, I would recommend to use Pylint (http://www.pylint.org/) in addition to pyflakes. Pylint is much more powerful than pyflakes, and largely configurable. Regards Roland
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| From | Miki Tebeka <miki.tebeka@gmail.com> |
|---|---|
| Date | 2014-06-04 22:12 -0700 |
| Message-ID | <ffa77644-c6fa-496d-91ec-54b1742317b7@googlegroups.com> |
| In reply to | #72263 |
Greetings, > So, what's the best practice here? How do people deal with the false > positives? Is there some way to annotate the source code to tell > pyflakes to ignore something? We use flake8 (pyflakes + pep8) as pre step for the tests. We fail the tests on any output from flake8. flake8 supports ignoring certain lines by appending a comment starting with # NOQA HTH, -- Miki
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